Share Email Print
cover

Proceedings Paper

Security analysis for fingerprint fuzzy vaults
Author(s): Jesse Hartloff; Maxwell Bileschi; Sergey Tulyakov; Jimmy Dobler; Atri Rudra; Venu Govindaraju
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

In this work we place some of the traditional biometrics work on fingerprint verification via the fuzzy vault scheme within a cryptographic framework. We show that the breaking of a fuzzy vault leads to decoding of Reed-Solomon codes from random errors, which has been proposed as a hard problem in the cryptography community. We provide a security parameter for the fuzzy vault in terms of the decoding problem, which gives context for the breaking of the fuzzy vault, whereas most of the existing literature measures the strength of the fuzzy vault in terms of its resistance to pre-defined attacks or by the entropy of the vault. We keep track of our security parameter, and provide it alongside ROC statistics. We also aim to be more aware of the nature of the fingerprints when placing them in the fuzzy vault, noting that the distribution of minutiae is far from uniformly random. The results we show provide additional support that the fuzzy vault can be a viable scheme for secure fingerprint verification.

Paper Details

Date Published: 31 May 2013
PDF: 12 pages
Proc. SPIE 8712, Biometric and Surveillance Technology for Human and Activity Identification X, 871204 (31 May 2013); doi: 10.1117/12.2016635
Show Author Affiliations
Jesse Hartloff, Univ. at Buffalo, SUNY (United States)
Maxwell Bileschi, Univ. at Buffalo, SUNY (United States)
Sergey Tulyakov, Univ. at Buffalo, SUNY (United States)
Jimmy Dobler, Univ. at Buffalo, SUNY (United States)
Atri Rudra, Univ. at Buffalo, SUNY (United States)
Venu Govindaraju, Univ. at Buffalo, SUNY (United States)


Published in SPIE Proceedings Vol. 8712:
Biometric and Surveillance Technology for Human and Activity Identification X
Ioannis Kakadiaris; Walter J. Scheirer; Laurence G. Hassebrook, Editor(s)

© SPIE. Terms of Use
Back to Top